63 results about "Depth conversion" patented technology

A method for the time-depth conversion of a concealed structure in a foreland thrust belt with a low exploration degree. The method comprises: obtaining velocity variation characteristics of a study area; using seismically interpreted horizons and fault data in a time domain to establish a geological structure model; by means of a stratigraphically controlled and fault-block-division-based velocity assignment method, converting the geological structure model into an interval velocity model; establishing virtual well control points in the study area, and extracting from the interval velocity model an interval velocity curve at each virtual well control point (S400); converting the interval velocity curve at each virtual well control point into an average velocity curve (S500); using a stratigraphically controlled and fault-block-division-based virtual well control point spatial interpolation method to construct a three-dimensional average velocity volume; and performing time-depth conversion on target horizons. Further provided is an apparatus for the time-depth conversion of a concealed structure in a foreland thrust belt with a low exploration degree. By means of an obtained depth-domain structural map, the identification of a concealed structure in a foreland thrust belt with a low exploration degree can be realized, thereby providing reliable depth data for the detailed description of traps.

The invention relates to the field of oil exploration, and particularly discloses a karst area oil exploration target optimization and resource quantity prediction method based on three-dimensional geological modeling. The method comprises the steps that firstly, seismic data, logging data and a rock core analysis result of a karst area are collected, data normalization and time-depth conversion are carried out, and a three-dimensional geologic model fusing structural constraints and physical property constraints is constructed; then multi-attribute indexes such as a coherent body, curvature, amplitude attenuation, deep lateral resistivity and interval transit time are selected, and karst development indexes are calculated through principal component analysis; in combination with parameters such as reservoir thickness, porosity, permeability, trap integrity and oil and gas display, utilizing a multi-index weighted scoring method to screen exploration favorable blocks; and finally, calculating reserves according to a volumetric method to obtain resource quantity prediction results of different target areas. According to the method, three-dimensional fusion modeling, multi-index quantitative optimization and chained calculation of multi-source data are realized, and quantifiable and traceable technical support is provided for oil exploration deployment in a karst area.

The invention discloses an active layer depth identification method based on an envelope fusion algorithm, and belongs to the technical field of seasonal frozen depth survey. The method comprises the following steps: optimizing survey line arrangement and radar frequency through field survey and ground temperature data, and collecting data by using a ground penetrating radar; performing background removal, gain compensation, band-pass filtering and time-depth conversion preprocessing on the data; then, a gravity center method and an edge detection method are adopted to extract a bottom interface track, and noise and abnormal values are effectively suppressed according to self-adaptive weighted fusion of signal definition and continuity; and finally, carrying out cross validation and error correction by taking the earth temperature 0 DEG C isotherm depth as a reference, outputting a continuous and smooth interface fusion curve with centimeter-level precision, and calculating the depth of an active layer. According to the method, the high-efficiency and lossless advantages of the GPR are kept, meanwhile, the limitation of traditional interpretation precision is broken through, and a practical technical scheme which can be directly used for designing parameter values is provided for engineering investigation of the permafrost region.

The invention provides a time-depth conversion method and device for a hidden structure of a low-exploration-degree foreland thrust zone, and belongs to the technical field of geological exploration. The method comprises the steps of obtaining speed change characteristics of a research area; establishing a geologic structure model by using the seismic interpretation horizon and fault data of the time domain; converting the geologic structure model into an interval velocity model through an interval control breaking block velocity assignment method; establishing virtual well control points in the research area, and extracting an interval velocity curve at each virtual well control point from the interval velocity model; converting the interval velocity curve at the virtual well control point into an average velocity curve; constructing a three-dimensional average velocity body by using a layer control breaking block virtual well control point spatial interpolation method; and performing time-depth conversion on the target layer. The variable-speed mapping is performed based on the time-depth conversion method realized by the invention, and through the obtained depth domain structure map, the identification of the hidden structure of the low-exploration-degree foreland thrust zone can be realized, and reliable depth data is provided for fine description of entrapment.

The invention provides a paleo-water depth reconstruction and tectonic settlement numerical calculation method based on geophysical drilling data, and belongs to the technical field of ocean-land transition zone and ocean basin settlement analysis. The paleo-water depth reconstruction and tectonic settlement numerical calculation method comprises the steps that the depth, age and lithology data of a drilling site are extracted from the geophysical drilling data and preprocessed; calculating the decompaction thickness and average density of the sediment by using a dynamic exponential decay model of the porosity and depth relationship through a decompaction calculation method; meanwhile, a sedimentary layer age-depth conversion model is constructed for paleo-water depth reconstruction; by introducing tectonic settlement analysis and dynamic terrain correction and combining various factors such as mantle flow, tectonic activity and the like, the surface elevation change is corrected. According to the method, the precision of paleo-water depth reconstruction is improved, the paleo-water depth reconstruction is not limited to a static structure model any more, the dynamic change of the internal process of the earth can be considered, and the ocean-land transition zone and ocean basin depth change in the historical period can be reflected more truly.

The invention belongs to the technical field of geophysical exploration, and particularly relates to a two-section type phase control high-precision speed field building method for a complex structure area. A two-section type phase control high-precision speed field building method for a complex structure area comprises the following steps that a shallow surface layer area marker bed in a research area is determined, drilled wells evenly distributed in the research area are screened out, and according to the shallow surface layer area marker bed and well logging data of the drilled wells, the shallow surface layer area marker bed and the well logging data of the drilled wells are determined; establishing a three-dimensional structure model and determining a shallow surface layer velocity field of the research area; determining a geological anomalous body and a marker bed of a middle-deep layer area in the research area through seismic geology combination, establishing a middle-deep layer structure model, and determining a middle-deep layer velocity field of the research area; a shallow surface layer velocity field and a middle-deep layer velocity field are fused, a velocity field of a research area is established, time-depth conversion of a time-domain seismic data volume is completed, and a depth-domain seismic data volume is obtained, so that the structural interpretation precision in the research area is improved, and support is provided for well position deployment and storage increase and production.

The present invention relates to a well seismic calibration method during the drilling process of a horizontal well, and belongs to the technical field of seismic data interpretation. The specific steps are as follows: main data preparation work; performing time-depth conversion to clarify the structural absolute error value of each marker layer; obtaining the error grid of the layer-by-layer velocity field of each marker layer segment; correcting the layer-by-layer velocity field of each marker layer, and then performing three-dimensional spatial interpolation to obtain a new velocity field as the stacking velocity, performing projection comparative analysis, and clarifying the structural absolute error value of each upper stable marker layer; continuously correcting the interlayer velocity by comparing and obtaining the velocity error of each marker layer, and using the corrected velocity field to extract the velocity curve for well seismic calibration, so that the correlation coefficient after well seismic calibration gradually increases and reaches the target value and meets the structural relative error standard value, and the spatial position in the target layer can be finally obtained. This well seismic calibration method significantly improves the prediction accuracy and work efficiency of target entry.

The application discloses a three-level sequence division method based on Mitchell cycle, comprising the following steps: obtaining a natural gamma logging curve in a target area; determining the signal energy and cycle number of the natural gamma logging curve based on spectrum analysis, and then judging whether the natural gamma logging curve contains Mitchell cycle; selecting a time anchor point with determined age and depth; selecting a slope track parameter as a target curve; determining the initial corresponding position of the natural gamma logging curve and the target curve based on the time anchor point, and tuning the natural gamma logging curve to the target curve from the initial corresponding position as a starting point to obtain a time-depth conversion table, and then determining an astronomical age scale; filtering the astronomical age scale to obtain a filter curve, and performing three-level sequence division based on the envelope line of the filter curve. The envelope line of the filter curve reflecting the characteristics of sea level change is obtained by filtering the astronomical age scale, and the three-level sequence division is performed based on the envelope line, so that the three-level sequence division conclusion is more accurate.

This disclosure relates to the field of seismic exploration technology, and particularly to a method and apparatus for automatically acquiring reflection travel time for layer-by-layer tomographic velocity modeling. The method includes: acquiring a seismic time-averaged velocity function constructed from raw seismic data and a well-logging time-averaged velocity function constructed from raw well-logging data; calibrating the seismic time-averaged velocity function using the initial seismic average velocity and well-logging average velocity to obtain a calibrated seismic average velocity model; performing time-depth conversion using the calibrated seismic average velocity model to obtain calibrated depth-domain interpretation horizons; performing stacking velocity inversion layer by layer on the calibrated depth-domain horizons to obtain optimized depth-domain layer velocities; obtaining observation travel time using the stacking velocity as a criterion; and performing tomographic inversion using the calibrated depth-domain interpretation horizons, optimized depth-domain layer velocities, observation travel time, and CMP observation system to construct a depth-domain layer velocity model.

The invention discloses a gas reservoir three-dimensional geological modeling method and system and a medium. The method comprises the following steps: acquiring multi-source data of a target work area; in combination with vertical seismic section data and virtual well data, depth correction is performed on the horizon after time-depth conversion, and a three-dimensional tectonic framework model is established based on the corrected horizon and fault data; fusing and generating a sand body space development probability trend body based on the seismic attribute body, the seismic inversion body and the determined optimal weight coefficients of the seismic attribute body and the seismic inversion body; a three-dimensional tectonic framework model is used as a space framework, a sand body space development probability trend body is used as a transverse soft constraint, a plurality of isoprobable lithofacies model initial implementation is established, and a three-dimensional lithofacies model is obtained; a three-dimensional distribution model of reservoir physical property parameters is generated; and importing the three-dimensional lithofacies model and the three-dimensional distribution model into a numerical simulator, performing historical fitting by using gas reservoir dynamic production data, analyzing fitting differences, and performing iterative modeling to obtain a high-precision and low-uncertainty three-dimensional gas reservoir geologic model.

The invention relates to a decompaction correction method, and belongs to the technical field of seismic exploration. According to the decompaction correction method, stratums where typical wells are located in a target work area are classified through quantitative standards, then the corresponding relation between wave impedance and time of various stratums in the target work area is obtained through fitting and time-depth conversion, and then wave impedance data volumes of all positions in the target work area are obtained; and making a difference between the post-stack wave impedance inversion data volume and the wave impedance data volume of the target work area to obtain a decompacted wave impedance data volume. According to the decompaction correction method, the situation that the deep wave impedance is all large can be relieved, the reservoir thickness predicted by adopting the wave impedance data body subjected to decompaction treatment is more consistent with the geological condition, and the plane section prediction effect of the deep reservoir is effectively improved.

The application provides an underground pipeline depth ultrasonic detection method based on multi-channel echo cooperative fusion, which comprises the following steps: acquiring a digital echo sequence through an array probe formed by a multi-channel ultrasonic transducer; sequentially implementing cascade sliding mean denoising, Hilbert transform envelope extraction and adaptive threshold detection based on noise bottom layer statistics to identify and retain candidate pipeline reflection peak points; according to the corresponding transit time and medium sound velocity of the candidate reflection peak points corresponding to each channel, calculating the initial depth estimation value corresponding to each channel through time-depth conversion, and taking the echo signal-to-noise ratio corresponding to each candidate reflection peak point as a quality index; performing neighborhood clustering with a preset depth tolerance as a constraint, selecting an effective depth cluster, and obtaining the final pipeline depth through weighted average of the echo signal-to-noise ratios of each member in the effective depth cluster after effectiveness determination. The application improves the measurement accuracy of the depth in a multi-channel redundant mutual checking mode.

The application discloses a simulation method for quantitatively predicting gas seepage and crater formation evolution process in a hydrate area and related equipment, and the method comprises the following steps: obtaining three-dimensional seismic data of a target area, and obtaining thickness data through layer velocity modeling and time-depth conversion; based on the thickness data and pre-acquired physical parameters, a first quantitative relationship between gas column growth rate and seepage velocity is quantified by using Darcy's law; based on the first quantitative relationship, a second quantitative relationship of gas migration time is obtained through integral method processing; the first quantitative relationship and the critical condition of quicksand are solved together to obtain a third quantitative relationship of crater depth, and then a crater space form constraint is constructed; and based on the crater space form constraint and the pre-acquired average methane flux, the total methane flux of the target area is simulated. The application can realize physical constraint quantitative prediction of deep fluid seepage process and crater formation evolution, and can be widely applied to the technical field of data processing.

The invention belongs to the technical field of deep learning and geophysical exploration, and relates to a ground penetrating radar underground water content detection data inversion method based on a U-Net neural network, which comprises the steps of model construction, data simulation and processing, time-depth conversion and propagation time calculation, data and model alignment, water content prediction and network structure inversion. According to the ground penetrating radar data nonlinear inversion method based on the U-Net deep neural network, accurate prediction of the underground water content is successfully realized; according to the method, through high-simulation electromagnetic wave propagation simulation, strict data preprocessing and fine model structure design and training configuration, the limitation of a traditional method in complex nonlinear underground environment analysis is effectively overcome; experimental results show that the method has high prediction precision and stability and is suitable for wide engineering application; in future research, more complex geological models and application of real scene data are explored, and the practicability and generalization performance of the models are further improved.

The invention discloses a well leakage risk early warning method and device, and the method comprises the steps: collecting logging data in real time when a drilling tool micro-element is emptied in drilling operation, and carrying out time-depth conversion to obtain logging data for analysis; obtaining a well leakage judgment index value of a first preset window length from the well logging data for analysis; calculating a well leakage judgment index base value according to the well leakage judgment index value of the first preset window length; for each acquisition point of a second preset window length, calculating the deviation between each well leakage judgment index value and the well leakage judgment index base value, and obtaining a first well leakage judgment result according to the current well depth, the deviation corresponding to all the acquisition points, the first well leakage judgment threshold value and the second well leakage judgment threshold value; if the first well leakage judgment result is that the suspicious well leakage exists in the current shaft, whether well leakage early warning needs to be sent out or not is judged according to the hook height corresponding to the current well depth and the maximum value of the historical hook height. According to the invention, shaft leakage-prone points can be found in time.

The invention discloses a method, a device and equipment for evaluating sand breaking coupling lateral oil-gas shunting capacity. The method comprises the following steps: obtaining sand body space distribution characteristics according to three-dimensional seismic data and drilled data of a research area; performing horizon interpretation and fault interpretation by using the three-dimensional seismic data, performing time-depth conversion on the horizon data of the target reservoir and the fault data of the target oil source fracture, and constructing a depth domain three-dimensional geologic model and a three-dimensional attribute model with preset attributes by combining the sand body space distribution characteristics and the drilled data; based on the depth domain three-dimensional geologic model, obtaining a fault dip angle, fault shale content, sand body thickness and a sand body dip angle at the fault sand coupling measuring point; according to a three-dimensional attribute model with preset attributes, obtaining the shale content, the porosity and the permeability of the sand body at the broken sand coupling measuring point; and calculating to obtain the evaluation parameters of the broken sand coupling oil-gas lateral shunting capacity at each broken sand coupling measuring point, and determining the broken sand coupling oil-gas lateral shunting capacity at the broken sand coupling measuring point.

This invention discloses a method and apparatus for predicting multiples in seabed node multi-component data. The method includes: obtaining a migration data volume using Kirchhoff pre-stack time migration based on the P-wave component data of the seabed node; constructing a seabed depth model based on interactive picking and time-depth conversion using the migration data volume; acquiring multiple seabed sample points based on the seabed depth model; determining the seabed reflection travel time and distance spread based on the multiple seabed sample points; and predicting multiples in the seabed based on the component data of the seabed node, the seabed reflection travel time, and the distance spread. This method effectively solves the problem that existing SRME methods cannot predict multiples in OBN converted wave data, and can significantly improve the multiple suppression effect of OBN data. Furthermore, it is adaptable to arbitrary water depths and rugged seabed areas, significantly improving the accuracy of multiple prediction.

The present application relates to a kind of low-order fault seismic interpretation method.Seismic interpretation method includes: obtaining the time-depth conversion relationship of target area;According to the time-depth conversion relationship, the seismic profile of target area is converted;According to more than three small breakpoint information or two more fault trace lines on the seismic profile not on a straight line, low-order fault is constrained seismic interpretation;The mode of small breakpoint information or fault trace line of target area is B mode or A+B mode, A mode is: if there is well drilling small breakpoint in target area, well drilling small breakpoint is corresponded with seismic phase one by one;B mode is: in seismic interpretation software, change the polarity of sandstone to corresponding negative polarity, and reduce the intensity of seismic polarity, obtain small breakpoint information or fault trace line.The present application only needs to find out small breakpoint or fault trace line by changing software setting in interpretation process, and low-order fault can be accurately interpreted, which is simple and reliable.

The invention provides a coal mine extremely shallow goaf geophysical prospecting data analysis method based on a transient electromagnetic method, which is characterized by comprising the following steps of: optimizing data acquisition parameters and correcting terrain; data preprocessing and noise suppression are carried out, multi-stage preprocessing is carried out on the original data, and preprocessing comprises outlier elimination, filtering noise reduction, null drift correction and background field deduction; time-depth conversion and resistivity inversion are carried out; quantitative analysis of goaf response characteristics; carrying out three-dimensional data fusion and visual modeling, integrating multi-measuring-line data and geological information, and constructing a goaf space distribution model; and the conclusion reliability is improved through field drilling verification and error source analysis. Aiming at the detection difficulty of an extremely shallow goaf, electromagnetic response details of a shallow medium are captured through small coil high-frequency excitation and microsecond-level signal acquisition. The terrain laser correction and the whole-period apparent resistivity inversion are combined, so that the tiny holes are accurately identified; and through drilling entity verification and error simulation, the misjudgment rate is remarkably reduced.

The application discloses a kind of oil-water interface seismic prediction method, equipment and storage medium, belong to oil and gas exploration technical field.The method includes the following steps: S1.Based on well logging data, the intersection interpretation template of longitudinal wave impedance and shear wave impedance curve of reservoir actual state and water-saturated state is established;S2.Based on the prestack bayesian inversion of bayesian sparse inversion theory and model soft constraint, the inversion result of longitudinal wave impedance and shear wave impedance in study area is obtained;S3.According to the intersection interpretation template, the inversion result of longitudinal wave impedance and shear wave impedance is predicted for the distribution of water-bearing layer in study area;S4.The time-depth relationship that meets the depth requirement is established, and the time-depth conversion is carried out for the distribution of water-bearing layer in study area, and the shallowest depth position of water-bearing layer is the position of oil-water interface.The application can qualitatively-semi-quantitatively predict oil-water interface, and can estimate oil-water interface according to a small amount of well data in early exploration, to provide technical support for next step exploration of oil field.

The application discloses a kind of longitudinal transverse wave matching processing method, device, computing device and storage medium, the method includes: obtaining longitudinal wave depth domain achievement data and converted wave depth domain achievement data;The horizon interpretation is carried out to longitudinal wave depth domain achievement data, and longitudinal wave horizon interpretation result is obtained;The horizon interpretation is carried out to converted wave depth domain achievement data, and converted wave horizon interpretation result is obtained;Longitudinal wave horizon interpretation result and converted wave horizon interpretation result are stacked according to horizon, and the longitudinal transverse wave matching result in depth domain is obtained;The conversion processing is carried out to the longitudinal transverse wave matching result in depth domain, and the longitudinal transverse wave matching result in time domain is obtained.By the above manner, longitudinal transverse wave matching processing is directly carried out in depth domain, after completing the longitudinal transverse wave matching processing in depth domain, time-depth conversion processing is carried out, longitudinal transverse wave matching achievement in depth domain is converted into longitudinal transverse wave matching achievement in time domain, and the efficiency and accuracy of longitudinal transverse wave matching processing can be improved.

The invention relates to a method and device for recovering the uplift denudation amount of a petroliferous basin, equipment and a medium, and relates to the technical field of geological analys.The method comprises the steps that a reference well is selected in a research area, and the uplift denudation amount delta H0 and the time-depth conversion relation of a target layer of the reference well are obtained; a standard layer is selected, and the marker bed three-dimensional structure top interface depth Tn is reconstructed according to the time-depth conversion relation of the reference well; and calculating the uplift denudation amount Xn of the target stratum based on the uplift denudation amount delta H0 of the reference well and the marker bed paleostructural plane. According to the recovery method provided by the invention, the three-dimensional continuous space of the petroliferous basin scale is modeled by virtue of the matching of the reference well and the standard layer, so that the accurate recovery of the multi-curtain uplift denudation thickness three-dimensional space is realized, and a scientific basis is provided for the exploration and development of oil and gas.

The present application relates to the technical field of geophysical exploration and marine engineering geological survey, and provides a time-depth conversion method and system for offshore seismic acquisition imaging. The time-depth conversion method for offshore seismic acquisition imaging comprises synchronously acquiring seismic data of a submarine tunnel line position and preprocessing the seismic data; based on the preprocessed seismic data, combining regional geological priori and drilling data, a multi-scale velocity field combining a macroscopic layered velocity model and a microscopic lateral variable velocity model is constructed; based on the multi-scale velocity field, a time domain seismic profile is converted into a seismic depth domain profile; transient electromagnetic apparent resistivity data are introduced to calculate corrected seismic velocity and thereby re-perform time-depth conversion to obtain seismic depth domain profile imaging; combining a complex spectrum correction method and a drilling data error verification method, the seismic depth domain profile imaging is optimized. The present application can realize efficient and accurate time-depth conversion of offshore complex geological structures and adverse geological bodies.

The invention belongs to the technical field of geophysical exploration, and particularly discloses a phase-control three-dimensional high-precision velocity field modeling method, equipment and a medium. The method disclosed by the invention comprises the following steps: firstly, collecting logging information, standardizing an interval transit time curve, carrying out fine synthetic record calibration, and determining a time-depth relationship; then, a BP neural network technology is utilized to predict a relative thickness map of a target layer sand body in the research area; then, establishing an initial three-dimensional interval velocity model based on the relative thickness map of the sand body; then, calculating each well velocity correction factor, and correcting the initial three-dimensional interval velocity model; and finally, calculating a target layer top velocity reference surface to obtain a phase-controlled three-dimensional high-precision velocity field model, and realizing accurate time-depth conversion of seismic data. The precision of the inter-well tectonic depth of the top boundary of the target layer series can be improved, and the accuracy of the tectonic horizon of the depth domain of the well extrapolation area can also be improved. The method can be widely applied to velocity field modeling of geophysical exploration.

The invention discloses a method and device for calculating a full-crustal extension coefficient based on subcrustal flow and magma invasion recovery, and the method comprises the steps: obtaining geological comprehensive data, such as a seabed seismic survey line and deep reflection multichannel seismic section data, of a target region, carrying out the stratigraphic division according to the geological comprehensive data, constructing a time-depth conversion formula through the drilling and logging data, and carrying out the calculation of the full-crustal extension coefficient. And converting the time profile data into depth domain data. And establishing an earth crust structure model in combination with a stratigraphic division result and related data, calculating a gravity anomaly curve through forward modeling and correcting the model until a preset condition is met so as to obtain density structure distribution of each part of the profile, and extracting the thickness of the earth crust high-density body. And then, according to the abnormal settlement after cracking, the earth crust loss amount is extracted, the current earth crust thickness is recalculated by removing the earth crust high-density body thickness and supplementing the earth crust loss thickness, the corrected earth crust thickness is obtained, and finally the whole earth crust extension coefficient is calculated. According to the method, the influence of bringing-in and taking-out of crustal substances is eliminated, and the accuracy of evaluating the crustal extension change rule is greatly improved.

The invention relates to the technical field of oil field development, in particular to a high-precision three-dimensional velocity field establishment method and device, equipment and a medium, and the method comprises the steps: obtaining a time domain structure interpretation result according to the corresponding relation between an earthquake and a geologic horizon, and obtaining a high-precision three-dimensional velocity field according to time domain geologic stratified data by taking the time domain structure interpretation result as a constraint; establishing a time domain three-dimensional construction model; obtaining a depth domain structure interpretation result through time-depth conversion, and building a depth domain three-dimensional structure model by taking the depth domain structure interpretation result as a constraint according to the depth domain geological stratified data; according to the three-dimensional structure model, the layer velocity of seismic waves propagating in the geologic horizon is determined, and according to the layer velocity, a three-dimensional space velocity field is established by adopting a stacked velocity field modeling method. The problems that an existing velocity field establishing method is large in longitudinal error, the geologic body layer penetrating phenomenon is prone to occurring, and the requirements for three-dimensional seismic information body high-precision time-depth conversion and small-layer-scale well-seismic combined reservoir characterization cannot be met are solved.

The invention discloses a method, a device and equipment for evaluating the oil-gas vertical sealing capability of a fault-damaged cover strata, and the method comprises the steps: carrying out the horizon interpretation and fault interpretation according to the three-dimensional seismic data and the drilled data of a research area; performing time-depth conversion on the obtained horizon data of the target reservoir and the cover layer and the fault data of the target oil source fracture, and constructing a depth domain three-dimensional geologic model and a shale content model in combination with drilled data; determining the compaction diagenesis starting time of fault rocks; determining a fault inclination angle at each preset measuring point, a current burial depth of a position where a cover layer is broken by a fault and a current burial depth of a target reservoir; the surrounding rock deposition time of the target reservoir is determined; the fault rock compaction diagenesis depth is determined; reading the shale content of the target reservoir and the shale content of the fault at each preset measuring point; target reservoir displacement pressure values and fault rock displacement pressure values at the corresponding measuring points are obtained through calculation; and determining an oil-gas vertical sealing capability evaluation result of the cover layer damaged by the fault at the corresponding preset measuring point.

The present disclosure relates to a method and apparatus for directly suppressing multiple waves between onshore layers in the depth domain of a well-controlled area. The method comprises: determining a pre-stack CRP gather from which primary reflection wave information is removed based on acquired work area logging data and a stacked profile of pre-stack depth migration seismic results; calibrating the positions of the multiple waves; determining a stacked profile of the multiple waves based on the calibrated CRP gather; subtracting the stacked profile of the pre-stack depth migration seismic results from a stacked profile of multiple waves with a depth unit of m; and performing pulse deconvolution on the stacked profile after the subtraction to obtain a pre-stack depth migration result after direct suppression of multiple waves between onshore layers in the depth domain of the well-controlled area. This method solves the problem that in the past, when suppressing inter-layer multiple waves through Radon transform, the depth domain migration processing results need to be converted to the time domain through time-depth conversion. Distortion occurs during the time-depth conversion process, resulting in the obtained time domain gather having an inaccurate depiction of the onshore inter-layer multiple waves, which is not conducive to subsequent suppression processing.

The application discloses a stratum fracturing effect evaluation method and system based on a walking micro-probe core capsule, and comprises the following steps: after the micro-probe core capsule is put into and recovered in a wellbore, time-depth conversion and filter derivation processing are performed on downhole temperature, pressure and time data to obtain temperature gradient profiles and pressure gradient profiles along well depth distribution; according to the temperature gradient profiles and the pressure gradient profiles, and in combination with a previously established wellbore annulus flow model and a temperature-pressure response model, temperature-pressure gradient response characteristics of each fracturing layer section are extracted, and a layer section response strength index is constructed; according to the layer section response strength index, the flow of each fracturing layer section into the wellbore annulus is inverted; and according to the inverted flow, the stratum fracturing effect is evaluated. The application can accurately identify the fluid exchange characteristics between different fracturing layer sections and the wellbore annulus by directly collecting temperature and pressure parameters near the fracture layer section through the walking micro-probe core capsule, and the precision and the fine level of the fracturing effect evaluation are improved.

The invention relates to the field of oil-gas exploration, and provides a method and a system for predicting a heterogeneous deepwater ultra-shallow gas layer and an associated thin hydrate layer. The method comprises the following steps: performing lithofacies division on a stratum through logging data to obtain a lithofacies identification result; performing time-depth conversion on the lithofacies identification result by using the acoustic logging data to obtain time domain lithofacies data; performing horizon interpretation on the seismic data, and constructing a stratigraphic framework model; performing lithofacies proportion statistics on the time domain lithofacies data in the stratigraphic framework model to obtain a lithofacies stratigraphic model; taking the lithofacies stratigraphic model as a constraint condition, and introducing the lithofacies stratigraphic model into a statistical inversion algorithm for inversion processing to obtain a longitudinal wave impedance data volume and a lithofacies data volume; and interpreting and analyzing the stratum by combining the longitudinal wave impedance data body and the lithofacies data body to obtain a spatial distribution prediction result of the heterogeneity deepwater ultra-shallow gas layer and the thin hydrate layer. According to the method, the interpretation rationality of the ultra-shallow gas layer with high heterogeneity in spatial distribution is improved.